Principal Machine Learning Engineer

Extreme Networks is a global networking leader committed to fostering an inclusive workplace. They are seeking a Principal Machine Learning Engineer to innovate with generative AI and lead the development of machine learning solutions that enhance their networking products.

Responsibilities:

• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation
• Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation
• Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks
• Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale
• Mentor and develop other engineers on the team, establish technical direction and foster team culture
• Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements

Requirements:

• Degree in mathematics/computer science or related discipline
• 12+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations
• 7+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java
• 5+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud)
• Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.)
• Experience as a mentor, tech lead or leading an engineering team
• Adept at tackling highly complex, ambiguous or undefined problems
• MS or PhD in Computer Science or equivalent experience in ML
• Experience dealing with real world large-scale datasets
• Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models
• Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA